





import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation


lowerCAmelCase_        =							logging.get_logger(__name__)

lowerCAmelCase_        =							{'''tokenizer_file''': '''tokenizer.json'''}

lowerCAmelCase_        =							{
    '''tokenizer_file''': {
        '''bigscience/tokenizer''': '''https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json''',
        '''bigscience/bloom-560m''': '''https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b1''': '''https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json''',
        '''bigscience/bloom-1b7''': '''https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json''',
        '''bigscience/bloom-3b''': '''https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json''',
        '''bigscience/bloom-7b1''': '''https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json''',
        '''bigscience/bloom''': '''https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json''',
    },
}



class    __lowerCAmelCase			(     _a	):
			lowerCamelCase_	:	Optional[Any]			     = VOCAB_FILES_NAMES
			lowerCamelCase_	:	List[str]			     = PRETRAINED_VOCAB_FILES_MAP
			lowerCamelCase_	:	str			     = ['''input_ids''', '''attention_mask''']
			lowerCamelCase_	:	Union[str, Any]			     = None






			def __init__(self   ,				__magic_name__=None   ,				__magic_name__=None   ,				__magic_name__=None   ,				__magic_name__="<unk>"   ,				__magic_name__="<s>"   ,				__magic_name__="</s>"   ,				__magic_name__="<pad>"   ,				__magic_name__=False   ,				__magic_name__=False   ,				**__magic_name__   ,				)	->  Optional[Any]:


							'''simple docstring'''



							super().__init__(
							    __magic_name__   ,				__magic_name__   ,				tokenizer_file=__magic_name__   ,				unk_token=__magic_name__   ,				bos_token=__magic_name__   ,				eos_token=__magic_name__   ,				pad_token=__magic_name__   ,				add_prefix_space=__magic_name__   ,				clean_up_tokenization_spaces=__magic_name__   ,				**__magic_name__   ,				)
							snake_case_		:       List[Any]           =    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()       )
							if pre_tok_state.get('''add_prefix_space'''   ,				__magic_name__       ) != add_prefix_space:
											snake_case_		:       str           =    getattr(__magic_name__   ,				pre_tok_state.pop('''type'''       )       )
											snake_case_		:       List[str]           =    add_prefix_space
											snake_case_		:       Dict           =    pre_tok_class(**__magic_name__       )

							snake_case_		:       Optional[int]           =    add_prefix_space






			def      lowerCamelCase    (self   ,				*__magic_name__   ,				**__magic_name__       )	->  BatchEncoding:


							'''simple docstring'''



							snake_case_		:       Optional[Any]           =    kwargs.get('''is_split_into_words'''   ,				__magic_name__       )
							if not (self.add_prefix_space or not is_split_into_words):
											raise Exception(
											    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
											    ''' pretokenized inputs.'''       )

							return super()._batch_encode_plus(*__magic_name__   ,				**__magic_name__       )






			def      lowerCamelCase    (self   ,				*__magic_name__   ,				**__magic_name__       )	->  BatchEncoding:


							'''simple docstring'''



							snake_case_		:       Any           =    kwargs.get('''is_split_into_words'''   ,				__magic_name__       )

							if not (self.add_prefix_space or not is_split_into_words):
											raise Exception(
											    F'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'''
											    ''' pretokenized inputs.'''       )

							return super()._encode_plus(*__magic_name__   ,				**__magic_name__       )






			def      lowerCamelCase    (self   ,				__magic_name__   ,				__magic_name__ = None       )	->  Tuple[str]:


							'''simple docstring'''



							snake_case_		:       Dict           =    self._tokenizer.model.save(__magic_name__   ,				name=__magic_name__       )
							return tuple(__magic_name__       )






			def      lowerCamelCase    (self   ,				__magic_name__       )	->  List[int]:


							'''simple docstring'''



							snake_case_		:       Dict           =    []
							for is_user, text in conversation.iter_texts():
											input_ids.extend(self.encode(__magic_name__   ,				add_special_tokens=__magic_name__       ) + [self.eos_token_id]       )

							if len(__magic_name__       ) > self.model_max_length:
											snake_case_		:       Union[str, Any]           =    input_ids[-self.model_max_length :]
							return input_ids

def 	lowerCamelCase					(	UpperCamelCase     :				int			,       UpperCamelCase     :				int							)   ->    float:
		return base * power(UpperCamelCase			,       (exponent - 1)							) if exponent else 1


if __name__ == "__main__":
				print('Raise base to the power of exponent using recursion...')
				A						=			int(input('Enter the base: ').strip())
				A						=			int(input('Enter the exponent: ').strip())
				A						=			power(base, abs(exponent))
				if exponent < 0:  # power() does not properly deal w/ negative exponents
								A						=			1 / result
				print(F'''{base} to the power of {exponent} is {result}''')